How do I install the Bd Test skill?

Run npx skillmds@latest add dvcrn/bd-test in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Bd Test safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Bd Test?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Bd Test free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Bd Test?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Bd Test by dvcrn — Agent Skill

Name: Bd Test
Rating: 4.666666666666667 (3 reviews)
Author: dvcrn

File contents

Skill Registration and Usage

🎯 What This Tool Does

visual understanding platform. This tool enables you to:

Register Skills - Register detection skills from platform locally
Invoke Skills - Call registered skills with images or video frames
Visualize Results - Draw bounding boxes, generate grid references, preview ROI/Tripwire
Define Detection Areas - Use interactive workflows to define ROI (electronic fencing) or Tripwire (detection lines)

Supported Detection Types: Person detection, pedestrian counting, vehicle recognition, OCR, pose estimation, object tracking, etc.

🔧 Prerequisites

Get API Key

Activate trial package

📚 Usage Guide

Basic Workflow

# 1. List available skills (preset and registered)
node scripts/invoke.mjs --list

# 2. Invoke a skill
echo '{"input0":{"image":"photo.jpg"}}' | node scripts/invoke.mjs ep-xxxx-yyyy

# 3. Visualize or display results (optional)
node scripts/visualize.mjs photo.jpg '<result-json>'

Or register a skill first then use it:


# Then invoke
echo '{"input0":{"image":"photo.jpg"}}' | node scripts/invoke.mjs ep-xxxx-yyyy

Define Detection Areas

Need to define regions of interest (ROI) or detection lines (Tripwire)?

ROI Workflow — Create electronic fencing, detect only in specified regions
Tripwire Workflow — Draw detection lines, count crossing events

Both workflows include complete interactive steps and example dialogs.

View Complete Documentation

Type Definitions — Detection, ROI, Tripwire data structures
Visualization Guide — Display detection results, generate grid
Video Frame Extraction — Extract frames from video for detection
Grid Input System — Use grid coordinates to specify points
Example Code — Complete workflow examples

💡 Common Tasks

Register a Skill

After obtaining an ep-id:

Invoke a Skill

echo '{"input0":{"image":"photo.jpg"}}' | node scripts/invoke.mjs <ep-id>

With ROI:

echo '{"input0":{"image":"photo.jpg","roi":{...}}}' | node scripts/invoke.mjs <ep-id>

With Tripwire:

echo '{"input0":{"image":"photo.jpg","tripwire":{...}}}' | node scripts/invoke.mjs <ep-id>

Preview ROI/Tripwire

Preview on image before invoking:

node scripts/visualize.mjs photo.jpg '[]' preview.png \
  --overlays '[{"kind":"ROI","name":"zone","points":[...]}]'

Generate Grid

Help users specify point locations using grid coordinates:

node scripts/show-grid.mjs photo.jpg grid.png

---name: bd-testdescription: Manage skills for visual understanding: register, list, invoke, and delete detection skills. Supports person detection, pedestrian counting, vehicle recognition, OCR, pose estimation, object tracking, and more.---# Skill Registration and Usage## 🎯 What This Tool Doesvisual understanding platform. This tool enables you to:- **Register Skills** - Register detection skills from platform locally- **Invoke Skills** - Call registered skills with images or video frames- **Visualize Results** - Draw bounding boxes, generate grid references, preview ROI/Tripwire- **Define Detection Areas** - Use interactive workflows to define ROI (electronic fencing) or Tripwire (detection lines)**Supported Detection Types:** Person detection, pedestrian counting, vehicle recognition, OCR, pose estimation, object tracking, etc.## 🔧 Prerequisites### Get API Key1. Activate trial package## 📚 Usage Guide### Basic Workflow```bash# 1. List available skills (preset and registered)node scripts/invoke.mjs --list# 2. Invoke a skillecho '{"input0":{"image":"photo.jpg"}}' | node scripts/invoke.mjs ep-xxxx-yyyy# 3. Visualize or display results (optional)node scripts/visualize.mjs photo.jpg '<result-json>'```**Or register a skill first then use it:**```bash# Then invokeecho '{"input0":{"image":"photo.jpg"}}' | node scripts/invoke.mjs ep-xxxx-yyyy```### Define Detection Areas**Need to define regions of interest (ROI) or detection lines (Tripwire)?**- **[ROI Workflow](./roi-workflow.md)** — Create electronic fencing, detect only in specified regions- **[Tripwire Workflow](./tripwire-workflow.md)** — Draw detection lines, count crossing eventsBoth workflows include complete interactive steps and example dialogs.### View Complete Documentation- **[Type Definitions](./types-guide.md)** — Detection, ROI, Tripwire data structures- **[Visualization Guide](./visualization-guide.md)** — Display detection results, generate grid- **[Video Frame Extraction](./video-guide.md)** — Extract frames from video for detection- **[Grid Input System](./grid-guide.md)** — Use grid coordinates to specify points- **[Example Code](./examples/)** — Complete workflow examples## 💡 Common Tasks### Register a SkillAfter obtaining an ep-id:### Invoke a Skill```bashecho '{"input0":{"image":"photo.jpg"}}' | node scripts/invoke.mjs <ep-id>```With ROI:```bashecho '{"input0":{"image":"photo.jpg","roi":{...}}}' | node scripts/invoke.mjs <ep-id>```With Tripwire:```bashecho '{"input0":{"image":"photo.jpg","tripwire":{...}}}' | node scripts/invoke.mjs <ep-id>```### Preview ROI/TripwirePreview on image before invoking:```bashnode scripts/visualize.mjs photo.jpg '[]' preview.png \ --overlays '[{"kind":"ROI","name":"zone","points":[...]}]'```### Generate GridHelp users specify point locations using grid coordinates:```bashnode scripts/show-grid.mjs photo.jpg grid.png```---

Frequently asked questions

Bd Test